How does machine learning improve disaster predictions?
Machine learning enhances disaster predictions by analyzing vast amounts of data to identify patterns and trends.
Can you give me an example of how it's used in real-life scenarios?
Sure! For instance, machine learning models can predict hurricanes by analyzing historical weather data and satellite images.
What types of data are most important for these predictions?
Key data types include meteorological data, historical disaster records, and real-time sensor data from various sources.
Are there any limitations to using machine learning for this purpose?
Yes, limitations include data quality, the need for large datasets, and the challenge of interpreting complex models.
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